stat940F21

Record your contributions here [1]

Use the following notations:

P: You have written a summary/critique on the paper.

T: You had a technical contribution on a paper (excluding the paper that you present).

E: You had an editorial contribution on a paper (excluding the paper that you present).

Paper presentation

Date	Name	Paper number	Title	Link to the paper	Link to the summary	Link to the video
Sep 15 (example)	Ri Wang		Sequence to sequence learning with neural networks.	Paper	Summary	[2]
Week of Nov 2		1
Week of Nov 2		2
Week of Nov 2		3
Week of Nov 2		4
Week of Nov 2		5
Week of Nov 2		6
Week of Nov 9		7
Week of Nov 9		8
Week of Nov 9		9
Week of Nov 9		10
Week of Nov 9		11
Week of Nov 9		12
Week of Nov 16		13
Week of Nov 16		14
Week of Nov 16		15
Week of Nov 16		16
Week of Nov 16		17
Week of Nov 16	Milad Sikaroudi	18	Domain Genralization via Model Agnostic Learning of Semantic Features	Paper
Week of Nov 23	Bowen You	19	DREAM TO CONTROL: LEARNING BEHAVIORS BY LATENT IMAGINATION	Paper
Week of Nov 23	Nouha Chatti	20	This Looks Like That: Deep Learning for Interpretable Image Recognition	Paper
Week of Nov 23	Mohan Wu	21	Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification	Paper
Week of Nov 23	Xinyi Yan	22	Incorporating BERT into Neural Machine Translation	Paper
Week of Nov 23	Meixi Chen	23	Functional Regularisation for Continual Learning with Gaussian Processes	Paper
Week of Nov 23	Ahmed Salamah	24	Sparse Convolutional Neural Networks	Paper
Week of Nov 30	Danial Maleki	25	Attention Is All You Need	Paper
Week of Nov 30	Gursimran Singh	26	BERTScore: Evaluating Text Generation with BERT.	Paper
Week of Nov 30	Govind Sharma	27	Time-series Generative Adversarial Networks	Paper
Week of Nov 30	Maral Rasoolijaberi	28	Parameter-free, Dynamic, and Strongly-Adaptive Online Learning	Paper
Week of Nov 30	Sina Farsangi	29	A Baseline for Few-Shot Image Classification	Paper
Week of Nov 30	Pierre McWhannel	30	Pre-training Tasks for Embedding-based Large-scale Retrieval	Paper	placeholder